Awarded NVIDIA Academic Grant (2025) for high-performance GPUs and hardware
NSF-funded project: 'Advancing Scientific Machine Learning for Wave Imaging' (2025)
Collaborative NSF project: 'Quantum Cyberinfrastructure for Geoscience' (2025)
DOE-ASCR program award (2024)
Papers accepted to ICML 2025, ICLR 2025, AAAI 2025, and The Leading Edge
Appointed to the Editorial Board of IEEE Open Journal of Signal Processing (2025)
Launched Kaggle Competition on Geophysical Waveform Inversion (2025)
Developed benchmark datasets: OpenFWI and EFWI for seismic full-waveform inversion
Work featured in NVIDIA's PhysicsNemo diffusion-based FWI demo
Background
Associate Professor at the School of Data Science and Society, University of North Carolina at Chapel Hill
Adjunct Professor in the Department of Earth, Marine and Environmental Sciences and the Department of Mathematics
Former Senior Scientist (2010–2024) in the Earth and Environmental Science Division at Los Alamos National Laboratory
Research focuses on scientific machine learning (AI for Science), deep learning, computational methods, and their applications in medical imaging, signal and image analysis, and geoscience
Specific interests include ultrasound imaging and cancer detection, subsurface imaging for energy exploration, and time series classification for small earthquake detection